[R] Help: lda predict

[Shengzhe Wu]

Thanks for your reply. Actually I called function as below.

p1 = predict(object, newdata, dimen=1)
p2 = predict(object, newdata, dimen=1, method=debiased)
p3 = predict(object, newdata, dimen=1, method="predictive")

The MAP classification of prediction results by any method are the
same. I know what the method "plug-in" and "debiased" mean, but what
does the "vague prior" for the method "predictive" mean? what is
"vague" here?

Thank you,
Shengzhe



On 8/26/05, Prof Brian Ripley <ripley at stats.ox.ac.uk> wrote:
> On Fri, 26 Aug 2005, Shengzhe Wu wrote:
> 
> > I use lda (package: MASS) to obtain a lda object, then want to employ
> > this object to do the prediction for the new data like below:
> >
> > predict(object, newdata, dimen=1, method=c("plug-in", "predictive", "debiased"))
> 
> That is not how you call it: when a character vector is given like that
> those are alternatives.  Do read the help page, as we ask.
> 
> > What is the exact difference among the three methods? What is the
> > difference of prediction results when applying different method?
> 
> This is stated on the help page.  If you are unfamiliar with the area,
> note that the posting guide points out that MASS is support software for a
> book and the explanations are in the book.  The help page also has
> references: please do read them (before posting).
> 
> > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
> 
> --
> Brian D. Ripley,                  ripley at stats.ox.ac.uk
> Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
> University of Oxford,             Tel:  +44 1865 272861 (self)
> 1 South Parks Road,                     +44 1865 272866 (PA)
> Oxford OX1 3TG, UK                Fax:  +44 1865 272595
>